S & P Global Recruitment 2026: S & P Global is scheduled to hire Associate Software Development Engineers for graduates with B.E/B.Tech/B.Sc qualifications. Candidates looking for jobs in Hyderabad can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. If interested, you can also try Capgemini Careers.

S & P Global Recruitment 2026 – Details:

Job Role	Associate Software Development Engineer
Job Category	IT Jobs
Qualification	B.E/B.Tech/B.Sc
Experience	1 Year
Salary/CTC	Best in Industry
Job Location	Hyderabad
Last Date	ASAP

Detailed Eligibility:

Associate Software Development Engineer – Information Security:

Basic Qualifications

Education: Bachelor’s degree in Computer Science, Information Security, a related technical field, or equivalent practical experience.
Experience: 1year or more of professional experience in Information Security, Application Security, or a highly security-focused software development role.

Technical Skills & Core Competencies

Scripting & Programming: Proficiency in Python for security scripting, automation, or data handling (exposure to Java or JavaScript/Angular is a plus).
AI/LLM Awareness: Foundational knowledge of AI concepts, LLM architectures, or AI agents, including an understanding of how to securely interact with APIs and handle data privacy in AI workflows.
Application Security Basics: Familiarity with core AppSec concepts, web services, microservices/SOA architecture, and standard vulnerability frameworks (OWASP Top 10).
Network & Cryptography Fundamentals: Solid understanding of TCP/IP networking, transport layer security (TLS/DTLS), PKI, certificate management, and basic encryption concepts

Key Responsibilities

Secure Development Guidance: Assist in providing actionable security guidance to engineering teams across server-side development, UI frameworks, and cloud integrations.
Threat Modeling & Reviews: Partner with senior engineers to perform threat modeling, secure design reviews, and secure code reviews—with a growing focus on auditing AI agents, LLM pipelines, and cognitive workflows.
AI Risk Assessment: Assist in identifying vulnerabilities unique to AI systems (such as prompt injection, data poisoning, and insecure output handling) and help evaluate new AI technologies adopted by the business.
Security Automation: Leverage Python and open-source security tools to build, maintain, and automate security testing within the CI/CD pipeline.
Vulnerability Research: Help analyze, triage, and remediate vulnerabilities discovered during automated scans or manual testing, acting as a technical advisor for engineering teams.
Repeatable Security Patterns: Implement and support repeatable application security blueprints, ensuring applications and AI agents are appropriately sandboxed and segmented based on data sensitivity.
Continuous Learning: Keep pace with evolving security trends, zero-day vulnerabilities, and emerging frameworks for securing AI architectures (such as the OWASP Top 10 for LLMs).